Market Researchers

Market researchers can conduct comprehensive research by analyzing customer reviews of brands, products, or applications using Kimola Cognitive. This includes uploading open-ended survey responses and classifying them without the need for training or coding. Additionally, scraping competitor reviews from various channels such as Amazon and Trustpilot is made easy with Kimola Cognitive’s free browser extension.

Yes, market researchers can use the search box on Kimola.com to paste links from platforms like Trustpilot, TripAdvisor, Google Business, Amazon, App Store, and Google Play. After the analysis, preview of the reports can be viewed and reports can be purchased for each medium separately. This allows for simultaneous analysis of customer feedback across various platforms, providing a comprehensive overview of market sentiment.

Multi-label classification enables market researchers to understand customer experiences on a much deeper level. By classifying user reviews into multiple relevant categories simultaneously, it reveals what customers love and what affects their experience, offering nuanced insights into customer behavior and preferences.

Absolutely. Market researchers can upload a spreadsheet or integrate with Google Sheets to analyze open-ended survey responses effortlessly. Responses exported from platforms like Typeform, Hotjar, or Jotform can be directly dragged and dropped into Kimola Cognitive for seamless classification and analysis.

Market researchers can leverage GPT integration within Kimola Cognitive to create comprehensive reports including executive summaries, lists of buyer personas, SWOT analysis, and even generate FAQs based on customer feedback. This allows for an in-depth understanding of customer behavior, preferences, and intents.

Kimola Cognitive enables market researchers to filter customer feedback by the classification of popular topics and compare the Net Promoter Score (NPS) associated with those topics. Researchers can have a general NPS calculated automatically on the dashboard, making it easy to gauge customer loyalty and satisfaction across different aspects of the product or service.

Yes, market researchers can select from predefined models provided by Kimola in the Kimola Cognitive Gallery, or develop and deploy their own custom models by uploading datasets and training AI. Leveraging AutoML technology for constructing high-accuracy machine learning models helps researchers focus on refining the content of their training set without the hurdles of technical complexities, thereby tracking KPIs more efficiently.

Market researchers can generate various types of reports including executive summaries, SWOT analysis, insights lists,top liked features lists using the interpretation gallery when creating a customer feedback analysis report. There are more than 10 options to generate different powerful marketing collateral. These comprehensive reports provide valuable insights into market trends, customer satisfaction, and competitive landscapes.

Contextual classification with multi-labels in Kimola Cognitive identifies and understands behaviors, needs, intents, and classifies customer feedback automatically. This feature allows market researchers to grasp nuanced perspectives of customer interactions without necessitating any prior training, enabling a more sophisticated analysis of customer feedback.